Using elastic wave velocity anomaly to predict rockburst hazard in coal mines

Zhou, Kunyou; Małkowski, Piotr; Dou, Linming; Yang, Ke; Chai, Yanjiang

doi:10.24425/ams.2023.144322

Artykuł - szczegóły

Tytuł artykułu

Using elastic wave velocity anomaly to predict rockburst hazard in coal mines

Autorzy

Zhou Kunyou , Małkowski Piotr , Dou Linming , Yang Ke , Chai Yanjiang

Treść / Zawartość

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DOI

10.24425/ams.2023.144322

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Języki publikacji

Abstrakty

For the prevention and control of rockburst in underground coal mines, a detailed assessment of a rockburst hazard area is crucial. In this study, the dependence between stress and elastic wave velocity of axially-loaded coal and rock samples was tested in a laboratory. The results show that P-wave velocity in coal and rock is positively related to axial stress and can be expressed by a power function. The relationship showed that high stress and a potential rockburst area in coal mines can be determined by the elastic wave velocity anomaly assessment with passive seismic velocity tomography. The principle and implementation procedure of passive seismic velocity tomography for elastic wave velocity were introduced, and the assessment model of rockburst hazard using elastic wave velocity anomaly was built. A case study of a deep longwall panel affected by rockbursts was introduced to demonstrate the effectiveness of tomography. The rockburst prediction results by passive velocity tomography closely match the dynamic phenomenon in the field, which indicates the feasibility of elastic wave velocity anomaly for rockburst hazard prediction in coal mines.

Słowa kluczowe

underground mining rockburst hazard stress-wave velocity relationship elastic wave velocity passive seismic velocity tomography velocity anomaly

górnictwo podziemne zagrożenie tąpaniami fala naprężenia

Wydawca

Instytut Mechaniki Górotworu PAN

Czasopismo

Archives of Mining Sciences

Rocznik

2023

Tom

Vol. 68, no. 1

Strony

141--164

Opis fizyczny

Bibliogr. 40 poz., fot., rys., tab., wykr.

Twórcy

autor

Zhou Kunyou

TB18020033B4@cumt.edu.cn

Anhui University of Science and Technology, School of Mining Engineering, Huainan 232001, China
Engineering Laboratory for Safe and Precise Coal Mining of Anhui Province, Huainan 232001, China

https://orcid.org/0000-0002-8134-9372

autor

Małkowski Piotr

AGH University of Science and Technology, al. Mickiewicza Av. 30, 30-059 Krakow, Poland

https://orcid.org/0000-0003-0870-438X

autor

Dou Linming

China University of Mining and Technology, School of Mines, Xuzhou 221116, China

https://orcid.org/0000-0003-2809-4646

autor

Yang Ke

Anhui University of Science and Technology, School of Mining Engineering, Huainan 232001, China

https://orcid.org/0000-0002-6931-5946

autor

Chai Yanjiang

China University of Mining and Technology, School of Mines, Xuzhou 221116, China

https://orcid.org/0000-0001-9732-4113

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024)

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Bibliografia

Identyfikator YADDA

bwmeta1.element.baztech-17aa2007-3e87-4d56-97df-58a6a32b5013